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        <datestamp>2024-03-06T10:45:54Z</datestamp>
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          <dc:title>Searching Long Repeats in Streams</dc:title>
          <dc:creator>Merkurev, Oleg</dc:creator>
          <dc:creator>Shur, Arseny M.</dc:creator>
          <dc:subject>Longest repeated substring</dc:subject>
          <dc:subject>longest repeated reversed substring</dc:subject>
          <dc:subject>streaming algorithm</dc:subject>
          <dc:subject>Karp</dc:subject>
          <dc:subject>Rabin fingerprint</dc:subject>
          <dc:subject>suffix tree</dc:subject>
          <dc:description>We consider two well-known related problems: Longest Repeated Substring (LRS) and Longest Repeated Reversed Substring (LRRS). Their streaming versions cannot be solved exactly; we show that only approximate solutions by Monte Carlo algorithms are possible, and prove a lower bound on consumed memory. For both problems, we present purely linear-time Monte Carlo algorithms working in O(E + n/E) space, where E is the additive approximation error. Within the same space bounds, we then present nearly real-time solutions, which require O(log n) time per symbol and O(n + n/E log n) time overall. The working space exactly matches the lower bound whenever E=O(n^{0.5}) and the size of the alphabet is Omega(n^{0.01}).</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Oleg Merkurev and Arseny M. Shur</dc:contributor>
          <dc:date>2019</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 128, 30th Annual Symposium on Combinatorial Pattern Matching (CPM 2019)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.CPM.2019.31</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-105029</dc:identifier>
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          <dc:language>eng</dc:language>
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